Iris
Systems Integration Implementation — $3,000
This package is designed for businesses that have two systems that need to work together but currently do not.
In many companies, information is still being copied manually between platforms, uploaded through spreadsheets, or re-entered by different teams. That creates delays, duplicate records, reporting problems, and unnecessary operational work.
My implementation connects the systems through APIs, middleware, webhooks, scheduled data flows, or secure file exchange so information can move automatically and reliably.
A typical example might be connecting a CRM to a billing platform, a scheduling system to a patient engagement tool, or an e-commerce platform to an ERP.
The goal is simple: when something happens in one system, the right information should appear in the other system without someone having to move it manually.
What the implementation includes
Discovery and requirements
I start by understanding the business process behind the integration.
We identify which systems need to connect, what information needs to move, what should trigger the transfer, how often it should run, and what should happen if something fails.
This helps make sure the integration solves the actual operational problem instead of only creating a technical connection.
System and API review
Next, I review how each system sends and receives data.
Depending on the platforms involved, the connection may use REST APIs, SOAP services, webhooks, database access, secure file transfers, message queues, or scheduled exports.
I also review authentication, API limits, available endpoints, data formats, and any technical restrictions that may affect the implementation.
Data mapping and transformation
The fields in one system rarely match the fields in another system perfectly.
For example, one platform may use customer_id, while another uses external_customer_number. Dates, phone numbers, status values, and field formats may also be different.
I create the mapping between the two systems and add any required transformation logic so the target system receives clean, usable data.
API or middleware implementation
This is where the actual connection is built.
The integration receives data from the source system, validates it, transforms it, sends it to the destination system, and processes the response.
Depending on the use case, this may involve a direct API connection or a middleware layer that coordinates the workflow between systems.
Event or scheduled flow
Some integrations need to happen immediately, while others can run on a schedule.
For example, a new customer record may need to be sent instantly through a webhook, while a nightly billing update may be better handled as a scheduled process.
I configure the flow based on the business need rather than forcing every integration into the same pattern.
Data validation
Before data is sent, the integration checks that the required information is present and correctly formatted.
This may include validating email addresses, dates, required fields, field lengths, reference values, and duplicate records.
Invalid records can be stopped and flagged for review instead of being pushed into the destination system and creating larger data-quality problems.
Error handling and retries
Integrations need to handle real-world failures.
APIs can time out, systems can go offline, authentication tokens can expire, and records can be rejected because of missing or invalid information.
The implementation includes basic retry logic, failure handling, logging, and alerts so problems can be identified and corrected instead of disappearing silently.
Testing
Before deployment, I test the integration with both normal and edge-case scenarios.
That includes successful transactions, invalid records, missing data, duplicates, failed API calls, and authentication issues.
The goal is to make sure the process works reliably before it is used in production.
Deployment and handoff
Once testing is complete, I deploy the integration into the agreed environment and provide the client with documentation.
The handoff includes the field mapping, integration flow, error-handling rules, testing results, and basic instructions for monitoring and support.
Pricing breakdown
| Workstream | Price |
|---|---|
| Discovery and requirements | $350 |
| System and API review | $300 |
| Data mapping and transformation | $450 |
| API or middleware implementation | $900 |
| Event or scheduled flow configuration | $300 |
| Validation, error handling, and retry logic | $250 |
| Testing and defect fixes | $250 |
| Deployment and documentation | $200 |
| Total | $3,000 |
What is included
The $3,000 package is built for one clearly defined integration between two systems.
It includes:
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Two connected systems
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One main business workflow
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API, webhook, batch, or middleware-based integration
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Basic data mapping and transformation
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Validation and error handling
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Testing
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Deployment
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Documentation and handoff
A good example would be connecting a CRM to a billing system so new approved customers are created automatically, status changes are synchronized, and failures are logged for review.
Why the price is $3,000
The price is not just for making one API call.
A reliable integration requires understanding the business process, reviewing both systems, mapping fields correctly, handling authentication, transforming the data, managing failures, testing edge cases, deploying the solution, and documenting how it works.
A poorly built integration can create duplicate records, lost transactions, security issues, reporting errors, and more manual work than the original process.
The $3,000 price reflects a complete, working implementation that is designed to be reliable, traceable, and practical for the business to use.
A simple way to describe the offer is:
For $3,000, I connect two business systems through a secure and reliable workflow, including API setup, data mapping, validation, error handling, testing, deployment, and documentation.
Payment structure
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50% at kickoff: $1,500
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30% after development: $900
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20% after testing and handoff: $600